HypoVis: Modeling Hypotheses with Visual Analytics Methods
The primary goal of Visual Analytics is the close intertwinedness of human reasoning and automated methods. Our goal in HypoVis is the design and development of a Visual Analytics process that uses the inherent structure contained in time-oriented data as a way to improve the integration of human reasoning. This structure can, for example, be seen in the calendar aspect of time being composed of smaller granularities, like years and seasons. Our focus is the generation of models from hypotheses, consisting of bringing the hypotheses into an automated system, and validating it.
FWF Austrian Science Fund (P22883)